This bugzilla service is closed. All entries have been migrated to https://gitlab.com/libeigen/eigen
Bug 441 - Implement sparse-triangular solver with a sparse RHS
Summary: Implement sparse-triangular solver with a sparse RHS
Status: NEW
Alias: None
Product: Eigen
Classification: Unclassified
Component: Sparse (show other bugs)
Version: 3.1
Hardware: All All
: Normal enhancement
Assignee: Nobody
URL:
Whiteboard:
Keywords:
Depends on:
Blocks:
 
Reported: 2012-03-29 11:35 UTC by Gael Guennebaud
Modified: 2019-12-04 11:34 UTC (History)
0 users


Attachments
Add an attachment (proposed patch, testcase, etc.)

Description Gael Guennebaud 2012-03-29 11:35:18 UTC 
We only have a not very good implementation for a column major sparse matrix. We need a proper one based on the construction of the elimination tree and we need to suport both column and row major matrices. Very useful for true sparse direct solving with a sparse rhs (for instance to compute the Schur complement). Currently the rhs is treated by converting the sparse columns of the rhs to dense ones.
Comment 1 Nobody 2019-12-04 11:34:11 UTC 
-- GitLab Migration Automatic Message --

This bug has been migrated to gitlab.com's GitLab instance and has been closed from further activity.

You can subscribe and participate further through the new bug through this link to our GitLab instance: https://gitlab.com/libeigen/eigen/issues/441.
Note You need to log in before you can comment on or make changes to this bug.